Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Pritoni M"'
Publikováno v:
Pritoni, M; Peffer, T; Meier, A; Granderson, J; Kloss, M; & Aragon, C. (2017). Folk Labeling: Insights on Improving Usability and Saving Energy Gleaned from After-Market Graffiti on Common Appliances.. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/4qt337xk
The after-market labeling of a device by its users often indicates problematic usability, which can affect the device's energy consumption. For example, when people find a lighting control panel difficult to use, they often write instructions on a pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::49c0fbd66cbd777df35870c3c4547533
https://escholarship.org/uc/item/4qt337xk
https://escholarship.org/uc/item/4qt337xk
Akademický článek
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Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Pritoni, M; Gunda, S; & Hsieh, T. (2017). Principal-Agent Problems in Energy Efficient Computing in a University Setting. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/2z4005d7
About 10% of the energy usage on a typical university campus is spent to meet Information Technology (IT) demands such as powering desktops, severs, printers, laptops, and other peripheral equipment. At UC Davis, the annual energy expenditure on IT a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f257043b6937bbc8bb814410dbae9ef
https://escholarship.org/uc/item/2z4005d7
https://escholarship.org/uc/item/2z4005d7
Publikováno v:
Sanguinetti, A; Pritoni, M; Salmon, K; & Morejohn, J. (2017). TherMOOstat: Occupant Feedback to Improve Comfort and Efficiency on a University Campus. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/34x4h61d
Despite the significant amount of energy spent on Heating, Ventilation, and Air Conditioning (HVAC) at universities, thermal comfort conditions in campus buildings are frequently poor. Conventional HVAC management systems at universities are typicall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c6ad5a15c700d7708031c757463c6f08
https://escholarship.org/uc/item/9414t9rj
https://escholarship.org/uc/item/9414t9rj
Publikováno v:
Outcault, S; Pritoni, M; Heinemeier, K; & Mikami, A. (2017). Can you take the heat? A cross-national comparison of thermal comfort models and experiments. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3cf6d8pk
The typical U.S. household uses two to four times as much electricity per person as the typical Japanese household. Differences in space conditioning drive this disparity, in part. Several key differences are identified. Japanese homes have one-third
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::26ee2c93b38cd7483c50d40b09f80a3d
https://escholarship.org/uc/item/3cf6d8pk
https://escholarship.org/uc/item/3cf6d8pk
Home Energy Management (HEM) describes a class of technologies including sensors, smart thermostats, and feedback devices seeking to manage residential energy consumption profiles to reduce peak electric demand and consumers’ electric bills. A grow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::025d35fba44c14fa7d3af4b99e4b437f
https://escholarship.org/uc/item/4f73d49j
https://escholarship.org/uc/item/4f73d49j
Autor:
Pritoni, M, Graziano, M
Publikováno v:
Pritoni, M; & Graziano, M. (2017). Cloudfridge: A Cloud-Based Control System for Commercial Refrigeration Systems. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/12f2q9ff
In California, commercial refrigeration accounts for 14% of electric energy usage, corresponding to 9,014 GWh per year and affecting more than 110,000 commercial establishments. A single walk-in freezer uses more energy than 5 single-family houses. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::238540f3ffed1182414ca6006a9a922b
https://escholarship.org/uc/item/12f2q9ff
https://escholarship.org/uc/item/12f2q9ff
As deep reinforcement learning (DRL) continues to gain interest in the smart building research community, there is a transition from simulation-based evaluations to deploying DRL control strategies in actual buildings. While the efficacy of a solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::dcd6a1dd779690728ea03b36807b5fb4
https://escholarship.org/uc/item/25s2n8gc
https://escholarship.org/uc/item/25s2n8gc